Literature DB >> 19162632

Semi-automatic detection of the left ventricular border.

Maria do Carmo dos Reis1, Adson F da Rocha, Daniel F Vasconcelos, Bruno L M Espinoza, Francisco A de O Nascimento, João L A de Carvalho, Sauro Salomoni, Juliana F Camapum.   

Abstract

Two semi-automatic methods for the detection of the left ventricular border in two-dimensional short axis echocardiographic images are presented and compared. In these methods, the left ventricular area variation curve is calculated during a complete cardiac cycle after the segmentation of several frames. This allows the evaluation of the cardiovascular dynamics and the identification of important clinical parameters. The algorithms are proposed as several independent modules. The results are validated through the comparison between the semi-automatic continuous boundaries and manuals boundaries sketched by a medical specialist.

Mesh:

Year:  2008        PMID: 19162632     DOI: 10.1109/IEMBS.2008.4649129

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

Review 1.  Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions.

Authors:  Ghada Zamzmi; Li-Yueh Hsu; Wen Li; Vandana Sachdev; Sameer Antani
Journal:  IEEE Rev Biomed Eng       Date:  2021-01-22

2.  Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle.

Authors:  Salvador A Melo; Bruno Macchiavello; Marcelino M Andrade; João L A Carvalho; Hervaldo S Carvalho; Daniel F Vasconcelos; Pedro A Berger; Adson F da Rocha; Francisco A O Nascimento
Journal:  Biomed Eng Online       Date:  2010-01-15       Impact factor: 2.819

  2 in total

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